A Continuous Learning System for Face Clustering and Recognition

Siffi Singh, Hsueh Ming Hang

    研究成果: Conference contribution同行評審

    摘要

    This work is to design a high performance and light weight system that can be trained and work well on practical real- world face images. It can run on the mobile phones in the market, and it can automatically identify and group photos in a personal digital album. One target of the research is to produce a system that can be given in the hands of users for long-term. To achieve this goal, we employ the face recognition and object clustering techniques to build a system that can update the number of classes (faces) with a continuously growing number of input photos. This system can be used together with the personal storage (such as hard disk drives); therefore, it has the advantage of privacy. Hence, we propose a system pipeline to create a smart album that will automatically cluster photos and recognize previously seen faces when the user is adding pictures to it. We have done experiments on the public and self-collected datasets and the system is able to perform well even on the challenging images that are difficult to cluster by using the conventional techniques.

    原文English
    主出版物標題2021 IEEE International Conference on Consumer Electronics, ICCE 2021
    發行者Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子)9781728197661
    DOIs
    出版狀態Published - 10 一月 2021
    事件2021 IEEE International Conference on Consumer Electronics, ICCE 2021 - Las Vegas, United States
    持續時間: 10 一月 202112 一月 2021

    出版系列

    名字Digest of Technical Papers - IEEE International Conference on Consumer Electronics
    2021-January
    ISSN(列印)0747-668X

    Conference

    Conference2021 IEEE International Conference on Consumer Electronics, ICCE 2021
    國家/地區United States
    城市Las Vegas
    期間10/01/2112/01/21

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